2002Unpublished venueRequires access

High-speed calculation method of the Hurst parameter based on real traffic

Tatsuya Hagiwara, Hiroki Doi, Hideki Tode, Hiromasa Ikeda

Open publisher page 6 citations

Abstract

Previous studies on traffic measurement analysis in the various networks have shown that packet traffic exhibits long range dependent properties called self-similarity. Some papers reported that self-similarity degrades the network performance, such as buffer overflow. Thus, we need new network control considering self-similar properties. Network control considering the self-similarity requires high speed calculation method of the Hurst parameter. However, such a method has not been proposed yet. In this paper, we propose high-speed calculation method of the Hurst parameter based on the variance-time plot method, and show its performance. Furthermore, we try to show the effectiveness of the network control with self-similarity.

About this research paper

What this paper is about

Previous studies on traffic measurement analysis in the various networks have shown that packet traffic exhibits long range dependent properties called self-similarity. Some papers reported that self-similarity degrades the network performance, such as buffer overflow. Thus, we need new network control considering self-similar properties. Network control considering the self-similarity requires high speed calculation method of the Hurst parameter. However, such a method has not been proposed yet. In this paper, we propose high-speed calculation method of the Hurst parameter based on the variance-time plot method, and show its performance. Furthermore, we try to show the effectiveness of the network control with self-similarity.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Previous studies on traffic measurement analysis in the various networks have shown that packet traffic exhibits long range dependent properties called self-similarity. Some papers reported that self-similarity degrades the network performance, such as buffer overflow. Thus, we need new network control considering self-similar properties. Network control considering the self-similarity requires high speed calculation method of the Hurst parameter. However, such a method has not been proposed yet. In this paper, we propose high-speed calculation method of the Hurst parameter based on the variance-time plot method, and show its performance. Furthermore, we try to show the effectiveness of the network control with self-similarity.

Key concepts: Hurst exponent, Self-similarity, Computer science, Similarity (geometry), Network packet, Range (aeronautics), Variance (accounting), Data mining

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